Shu Ishida

According to our database, Shu Ishida authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Aligning Constraint Generation with Design Intent in Parametric CAD.

Evan Casey, Tianyu Zhang, Shu Ishida, John Roger Thompson, Amir Khasahmadi, Joseph George Lambourne, Pradeep Kumar Jayaraman, Karl D. D. Willis

CoRR, April, 2025

Adapting a World Model for Trajectory Following in a 3D Game.

Marko Tot, Shu Ishida, Abdelhak Lemkhenter, David Bignell, Pallavi Choudhury, Chris Lovett, Luis França, Matheus Ribeiro Furtado de Mendonca, Tarun Gupta, Darren Gehring, Sam Devlin, Sergio Valcarcel Macua, Raluca Georgescu

CoRR, April, 2025

World and Human Action Models towards gameplay ideation.

Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann

Nat., February, 2025

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes.

Siobhan Mackenzie Hall, Samantha Dalal, Raesetje Sefala, Foutse Yuehgoh, Aisha Alaagib, Imane Hamzaoui, Shu Ishida, Jabez Magomere, Lauren Crais, Aya Salama, Tejumade Afonja

CoRR, February, 2025

The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisation.

Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Samantha Dalal, Beatrice Marchegiani, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Spatial Reasoning and Planning for Deep Embodied Agents.

Shu Ishida

CoRR, 2024

SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments.

Shu Ishida, João F. Henriques

CoRR, 2024

You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes.

Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall

CoRR, 2024

LangProp: A code optimization framework using Language Models applied to driving.

Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, João F. Henriques, Anthony Hu

CoRR, 2024

2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

CoRR, 2023

2022

Towards real-world navigation with deep differentiable planners.

Shu Ishida, João F. Henriques

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

Proceedings of the NeurIPS 2022 Competition Track, 2021

2019

Robot Path Planning for Multiple Target Regions.

Shu Ishida, Marc Rigter, Nick Hawes

Proceedings of the 2019 European Conference on Mobile Robots, 2019